Ethical AI

At AntWorks, we firmly believe humane, responsible AI is the future, and are excited by its limitless applications to solve for some of the greatest challenges the world and enterprises face today.

To fully realise the benefits and true strength of AI, we need to build a system of trust both in the technology and in those who are responsible for developing it. This will only happen if the technology is regulated, accountable, traceable, and used for the benefit of all.

As an organisation that is building and deploying the engine that delivers AI to enterprises across the world, it is our responsibility to create that trust. At AntWorks, we believe that we should be held to a high degree of responsibility and accountability for bringing an ethical approach to all of our work, from whom we choose to do business with, partner with, and how we treat each other as a ‘Colony.’


What AntWorks is Doing


AntWorks AI Principles

We have a zero-tolerance policy for unethical use of AI and have adopted 3 principles when considering the use of AI and which clients we choose to do business with:

  • Is the AI algorithm being used for malicious intent or fraudulent purposes?

  • Is the software ethically transparent or auditable?

  • What kind of carbon footprint are we leaving behind?


These principles guide our deal qualification process furthering trust and confidence in the way enterprises will use the technology.

Reducing our Carbon Footprint

Efficiency is essential when it comes to training AI engines. Most AI organisations require huge datasets to ensure accuracy and enable machine learning, which means the use of exceptionally large amounts of energy and computation resources.

At AntWorks, we fundamentally believe enterprises don’t need to be providing huge sets of data to garner results. ANTstein SQUARE is built on fractal science, and is deterministic and not probalistic, therefore, it needs a smaller representative data set for training. With a smaller data set, the downstream benefits automatically accrue. Enterprises need less infrastructure and use less computing power—lowering costs and reducing the AI carbon footprint left behind.

We have also built an eco-friendly interface, built on a dark UI, in contrast to the white UI 98% of interfaces are built on. Using dark colours means far less power consumption compared to power-consuming bright, light colours. Dark mode has also shown to be an eye-friendly option minimising digital eye strain.


Explore Related News and Content

Regulating the application of AI. The time to talk about AI regulation is now.

Avoiding bias in algorithms.

For more about AntWorks in the news, visit our Newsroom.

“The success of using AI for good depends upon trust, and that trust can only be built over time with the utmost adherence to ethical principles and practices. Whilst there is a great deal of unwarranted fear around AI and the potential consequences it may have, we should be optimistic about a future where AI is ethical and useful.” – Asheesh Mehra, Co-Founder and Group CEO, AntWorks